Hadoop MCQ: Hadoop Multiple Choice Questions and Answers

Hadoop MCQ with answers and explanations for placement tests and job interviews. These solved Hadoop MCQs are useful for the campus placement for all freshers including Engineering Students, MCA students, Computer and IT Engineers, etc.

Our Hadoop MCQ (Hadoop Multiple Choice Questions ) focuses on various parts of the Hadoop software utilities and their concept. It will be useful for anyone learning Hadoop platform Basics, Essentials, and/or Fundamentals. We will regularly update the quiz and most interesting thing is that questions come in a random sequence. So every time you will feel new questions.

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Guideline of Hadoop MCQ:

This Hadoop MCQ is intended for checking your Hadoop platform knowledge. It takes 40 minutes to pass the Hadoop MCQ. If you don’t finish the Hadoop MCQ within the mentioned time, all the unanswered questions will count as wrong. You can miss the questions by clicking the “Next” button and return to the previous questions by the “Previous” button. Every unanswered question will count as wrong. MCQ on Hadoop has features of randomization which feel you a new question set at every attempt.

In this Hadoop Quiz, we have also implemented a feature that not allowed the user to see the next question or finish the Hadoop quiz without attempting the current Hadoop MCQ.

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Hadoop MCQ

Hadoop MCQ: Hadoop Multiple Choice Questions and Answers

1 / 25

MapReduce jobs can be written in which language?

Java or Python

SQL only

SQL or Java

Python or SQL

2 / 25

Hadoop Auth enforces authentication on protected resources. Once authentication has been established, it sets what type of authenticating cookie?

encrypted HTTP

unsigned HTTP

compressed HTTP

signed HTTP

3 / 25

Which line of code implements a Reducer method in MapReduce 2.0?

public void reduce(Text key, Iterator values, Context context){…}

public static void reduce(Text key, IntWritable[] values, Context context){…}

public static void reduce(Text key, Iterator values, Context context){…}

public void reduce(Text key, IntWritable[] values, Context context){…}

4 / 25

To perform local aggregation of the intermediate outputs, MapReduce users can optionally specify which object?

Reducer

Combiner

Mapper

Counter

5 / 25

In a MapReduce job, where does the map() function run?

on the reducer nodes of the cluster

on the data nodes of the cluster (NOT SURE)

on the master node of the cluster

on every node of the cluster

6 / 25

Which method is used to implement Spark jobs?

on disk of all workers

on disk of the master node

in memory of the master node

in memory of all workers

7 / 25

To set up Hadoop workflow with synchronization of data between jobs that process tasks both on disk and in memory, use the _ service, which is _.

Oozie; open source

Oozie; commercial software

Zookeeper; commercial software

Zookeeper; open source

8 / 25

Which library should be used to unit test MapReduce code?

JUnit

XUnit

MRUnit

HadoopUnit

9 / 25

For high availability, use multiple nodes of which type?

data

name

memory

worker

10 / 25

In what form is Reducer output presented?

compressed (NOT SURE)

sorted

not sorted

encrypted

11 / 25

Hadoop Core supports which CAP capabilities?

A, P

C, A

C, P

C, A, P

12 / 25

Which command imports data to Hadoop from a MySQL database?

spark import --connect jdbc:mysql://mysql.example.com/spark --username spark --warehouse-dir user/hue/oozie/deployments/spark

sqoop import --connect jdbc:mysql://mysql.example.com/sqoop --username sqoop --warehouse-dir user/hue/oozie/deployments/sqoop

sqoop import --connect jdbc:mysql://mysql.example.com/sqoop --username sqoop --password sqoop --warehouse-dir user/hue/oozie/deployments/sqoop

spark import --connect jdbc:mysql://mysql.example.com/spark --username spark --password spark --warehouse-dir user/hue/oozie/deployments/spark

13 / 25

To connect Hadoop to AWS S3, which client should you use?

S3A

S3N

the EMR S3

14 / 25

SQL Windowing functions are implemented in Hive using which keywords?

UNION DISTINCT, RANK

OVER, RANK

OVER, EXCEPT

UNION DISTINCT, RANK

15 / 25

State __ between the JVMs in a MapReduce job

can be configured to be shared

is partially shared

is shared

is not shared

16 / 25

To create a MapReduce job, what should be coded first?

a static job() method

a Job class and instance (NOT SURE)

a job() method

a static Job class

17 / 25

To reference a master file for lookups during Mapping, what type of cache should be used?

distributed cache

local cache

partitioned cache

cluster cache

18 / 25

What are the primary phases of a Reducer?

combine, map, and reduce

shuffle, sort, and reduce

reduce, sort, and combine

map, sort, and combine

19 / 25

Rather than adding a Secondary Sort to a slow Reduce job, it is Hadoop best practice to perform which optimization?

Add a partitioned shuffle to the Map job.

Add a partitioned shuffle to the Reduce job.

Break the Reduce job into multiple, chained Reduce jobs.

Break the Reduce job into multiple, chained Map jobs.

20 / 25

Skip bad records provides an option where a certain set of bad input records can be skipped when processing what type of data?

cache inputs

reducer inputs

intermediate values

map inputs

21 / 25

Partitioner controls the partitioning of what data?

final keys

final values

intermediate keys

intermediate values

22 / 25

DataNode supports which type of drives?

hot swappable

cold swappable

warm swappable

non-swappable

23 / 25

To verify job status, look for the value **\_** in the **\_**.

SUCCEEDED; syslog

SUCCEEDED; stdout

DONE; syslog

DONE; stdout

24 / 25

To get the total number of mapped input records in a map job task, you should review the value of which counter?

FileInputFormatCounter

FileSystemCounter

JobCounter

TaskCounter (NOT SURE)

25 / 25

If you started the NameNode, then which kind of user must you be?

hadoop-user

super-user

node-user

admin-user

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Hadoop MCQ: Hadoop Multiple Choice Questions and Answers

Guideline of Hadoop MCQ:

You have 40 minutes to take the Hadoop MCQs

Your time has been Over.

Which line of code implements a Reducer method in MapReduce 2.0?

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